The EAVI EMG/EEG Board: Hybrid physiological sensing
Atau Tanaka (Goldsmiths College), David Fierro (CICM, MSHPN),, Francesco Di Maggio (MSHPN), Martin Klang, Stephen Whitmarsh (ICM)

TL;DR
This paper introduces the EAVI EMG/EEG Board, a wireless, microcontroller-based device that captures and processes brain and muscle signals, bridging high-end biomedical equipment and DIY solutions for practical physiological computing applications.
Contribution
It presents a novel hybrid hardware design integrating specialized biosignal chips with a microcontroller for versatile, wireless bioelectrical signal acquisition and processing.
Findings
Successful multichannel EMG and single-channel EEG demonstration
Wireless communication via Bluetooth LE and USB integration
Application in neuro-diverse musicians and stage performances
Abstract
We present an update on the EAVI physiological interface, a wireless, microcontroller based hardware design for the acquisition of bioelectrical signals. The system has been updated to process electroencephalogram brain signals in addition to muscle electromyogram. The hardware/firmware system interfaces with host software carrying out feature extraction and signal processing. Recent advances in electronics have made physiological computing applications practical and feasible. However, there is a gap between high end biomedical equipment and consumer DIY solutions. The hardware design we present here bridges this gap, and combines a specialized biosignal acquisition chip mated with a general-purpose microcontroller. It is based on the Texas Instruments ADS129x family a single chip integrated solution for high quality biosignal amplification and digitization. It serves as analogue front…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
